Performance prediction model of multistage centrifugal Pumps used as Turbines with Two-Phase Flow. (August 2018)
- Record Type:
- Journal Article
- Title:
- Performance prediction model of multistage centrifugal Pumps used as Turbines with Two-Phase Flow. (August 2018)
- Main Title:
- Performance prediction model of multistage centrifugal Pumps used as Turbines with Two-Phase Flow
- Authors:
- Stefanizzi, M.
Torresi, M.
Fornarelli, F.
Fortunato, B.
Camporeale, S.M. - Abstract:
- Abstract: Pump as Turbines (PaTs) can be used not only in hydraulic power generation but also in chemical processes, such as refinery, where fluids containing dissolved or undissolved gases or volatiles can be expanded from a higher to a lower pressure level for energy recovery. As the gas contained in the fluid is released from the solution during expansion, the flow rate increases and additional energy is delivered with respect to the case of incompressible flow. This higher power output is very attractive. In this work, a theoretical approach is proposed in order to predict the PaT performance with a two-phase flow whose expansion characteristics are known.
- Is Part Of:
- Energy procedia. Volume 148(2018)
- Journal:
- Energy procedia
- Issue:
- Volume 148(2018)
- Issue Display:
- Volume 148, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 148
- Issue:
- 2018
- Issue Sort Value:
- 2018-0148-2018-0000
- Page Start:
- 408
- Page End:
- 415
- Publication Date:
- 2018-08
- Subjects:
- Pump as Turbine -- PaT -- Centrifugal Pump -- Two-phase flow -- Perfomance prediction model
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2018.08.102 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
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